Operations | Monitoring | ITSM | DevOps | Cloud

What is the Harness Software Delivery Agent? Harness Software Delivery Agent is an AI-powered software delivery solution that helps teams automate CI/CD pipelines, infrastructure workflows, deployments, and troubleshooting, moving code from commit to production while enforcing existing policies and approvals. In this video, we explain how Harness Software Delivery Agent works and how it helps DevOps teams, platform engineers, and developers automate software delivery.

Your engineers are writing more code than ever with AI, but your team isn't shipping more product. The code waits for review, agents run on personal laptops and accounts, and nobody can say what any of it costs. In this overview, we show what Upsun Dispatch is: where your team and its agents ship together, with every decision recorded and every dollar tracked. We get into.

In Part 1 of this conversation, three early-career professionals at Digitate — Ryan Bascos, Renad Morrar, and Ritu Bhalodia — join The Intelligent Enterprise to share what it actually feels like to start a career in the age of AI: the tools they rely on, the concerns they carry, and what their generation sees that others might be missing.

See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.

The nature of cyber security is changing. In this video, I do a brief recap of a few of the compromises of the past couple weeks as well as highlight how our role as engineers is changing. Attackers have an easier time than ever in watching repos for changes to exploit 0-day vulnerabilities. But, it isn't all doom and gloom as long as we put in the effort. AI is creating a bit of an arms race between attackers and maintainers of sites and services, but there are actually more powerful tools available to defenders through exclusive programs like Daybreak, Glasswing, etc.

AI Budgeting for Finance: Last Year vs. Now In this video, Emily Allen, Director, Finance & Accounting at CloudZero, explains how AI planning changed in a single year. Instead of starting from a vendor commit or the current run rate, she’s treating AI spend as its own category and analyzing it bottom-up. That opens a new question for finance: “What does good look like?” With a year of data, finance teams can start benchmarking AI spend over time and check whether what they approved actually paid off.

In this video, Brady Lenahan, VP of Sales at CloudZero, shares what he’s hearing from customers when the cap hits before the month ends: employees who’ve built their workflows around AI stop working productively and wait for next month. Some go golfing, some clean the garage. Either way, finance loses both the productivity and the visibility. There’s a better option than capping AI spend you can’t see.

In this video, Emily Allen, Director, Finance & Accounting at CloudZero, explains why AI capitalization is still unclear for most finance teams, and how CloudZero gives them a repeatable approach. As AI writes more of the code, finance needs to know which AI spend went to qualifying development work and which should be expensed. CloudZero records which project each AI coding session served, what kind of work it was, and what it cost, so finance has the evidence behind every decision.